Over the past two years, the questions business owners ask most have changed. In the past, it was "Is Baidu promotion still worth investing in?" Now it is more often "Customers are all asking AI—can AI answer with my information?" and "If no one is on duty at night, do inquiries just slip away?" Behind these two questions is actually the same thing: the traffic gateway is shifting, and the way you receive customers must change with it.
Yunxuan Network Technology has spent 20 years in digital marketing and technology development, from the earliest website building and SEO optimization, to later feed advertising and short-video promotion, and now to GEO generative engine optimization and AI agent development—following the traffic every step of the way. This article skips the fluff and breaks down the three lines—AI customer service, brand promotion, and generative engine optimization—to explain what small and medium-sized enterprises across industries nationwide should actually do and which pitfalls to avoid.
1. First, See One Change Clearly: The Path Customers Take to Find You Has Shifted from "Searching" to "Asking"
In the past, when a customer wanted to find an engineering company, they would open Baidu, type in keywords, flip through pages, and compare prices, cases, and official websites. Now more and more customers directly open Doubao, Tongyi Qianwen, or DeepSeek and type a sentence: "Which local company does factory steel structures and can provide a plan and quote?" AI gives a compiled answer mentioning a few names, and the customer chooses from those names.
The impact of this change on businesses is very direct: if your brand information has not been captured by AI and has not been structured and organized, you are blank in the customer's candidate list. Traditional website SEO solves whether search engines can rank you; GEO generative engine optimization solves whether AI is willing to mention you and how it mentions you. These two are not substitutes; they are additive.
Add another layer: even if a customer finds you through an AI recommendation, clicks into your official website, and opens the chat window, if no one responds promptly, the deal will most likely still be lost. So the AI customer service line is essentially about catching the results of all the previous traffic actions. Only when the three lines are connected is there a complete customer acquisition loop.
2. Generative Engine Optimization: Getting AI to "Say You" in Its Answers
2.1 What GEO Is Actually Optimizing
Generative engine optimization, also called GEO in the industry, has the core goal of making a company's content recognizable, understandable, and citable by large AI models. It shares some things with traditional SEO, such as valuing content quality and structure, but the emphasis is different.
Traditional SEO looks at keyword density, backlinks, page load speed, and index volume. GEO looks more at these:
- Whether the content answers a specific question rather than praising itself in a self-absorbed way;
- Whether the information is structured and can be broken down into clear entities, attributes, and relationships;
- Whether the brand name, business scope, service area, and contact information are consistent across the entire web;
- Whether the content has a clear source and update history—AI is more inclined to cite credible, traceable information.
Simply put, when AI generates an answer, it is doing information retrieval, credibility judgment, and language organization. What businesses need to do is make themselves the answer source that gets retrieved and looks credible.
2.2 How to Do It Specifically: Four Steps
Step one: list the question inventory. Business owners themselves know best what customers will ask. A renovation company gets asked "How much is the difference between semi-package and full-package?" An equipment company gets asked "How long until this production line pays for itself?" A corporate services company gets asked "Which is more cost-effective, outsourced bookkeeping or building an in-house finance team?" Write these real questions down one by one, and you have a GEO content topic library. When Yunxuan Network Technology creates GEO plans for clients, the first step is usually to accompany the client through a round of customer interviews or customer service record sorting to dig out the questions.
Step two: create structured content. One article solves only one question, the title directly states the question, the body uses clear subheadings to layer the content, and key parameters, price ranges, and service processes are presented in lists or tables. AI is more willing to cite clearly structured content because it is easier to break down and restate. This is consistent with the underlying architecture logic we use in website building—clear page structure is not only comfortable for people to read, but also smooth for machines to read.
Step three: distribute across multiple platforms with consistent messaging. Your official website, encyclopedia-like platforms, vertical industry sites, Q&A communities, and official accounts should all have your information, and the company name, main services, service scope, and contact information must be completely consistent. When AI performs cross-validation, if it finds conflicting information across platforms, credibility will be discounted. Nationwide businesses especially need to pay attention to this: you cannot write "serves the whole country" on one platform and only a certain city on another, as that makes the information look chaotic.
Step four: keep updating; do not treat it as a one-time project. AI's knowledge base updates continuously. Content cited today may be pushed aside by new content three months later. It is recommended that companies maintain fixed monthly output and continuously supplement around customer questions. GEO is not something that ends after running one ad; it is more like building long-term information assets for the brand.
2.3 Three Common Pitfalls
The first pitfall is treating GEO as a contest of publishing volume. Piling up a bunch of homogeneous advertorials will not make AI cite you just because there is a lot of it; instead, it may be judged as low-quality content. Quality matters far more than quantity.
The second pitfall is filling content with adjectives and no facts. Words like "industry-leading" and "strong capabilities" cannot be verified by AI and will not be used as a basis for recommendation. It is better to honestly write how many years you have been in business, what types of customers you have served, how long the delivery cycle is, and how many people are on the team. Verifiable information has citation value.
The third pitfall is ignoring the official website as the main base. Some companies think the official website is outdated and only do short videos. But when AI retrieves company information, the official website is still one of the most important information sources. If website building is done carelessly, without even basic company introduction, service descriptions, and case displays, GEO lacks its foundation.
3. AI Customer Service: Catching the "Last Mile" of Traffic
3.1 Why AI Customer Service Has Become a Necessity
Among the clients we have served, there is a very typical phenomenon: advertising is concentrated during the day, but customer inquiry peaks often appear from 8 p.m. to 11 p.m., and on weekends. Before AI customer service, these inquiries either left a form and waited until the next day for a reply, or were lost directly. By the time staff returned to work the next day, the customer may already have contacted three competitors.
Another scenario is repetitive questions. "Do you serve the whole country?" "How is the quote calculated?" "How long until launch?" These questions account for a large part of customer service workload. Human agents answer the same things dozens of times a day, which is inefficient and prone to lower response quality due to fatigue.
AI customer service solves exactly these two things: time coverage and repetitive labor. It can be online 24/7, respond immediately, answer common questions clearly, and guide interested customers to leave their information or transfer to a human. The AI agents Yunxuan Network Technology builds for clients are essentially digital receptionists who understand the business, not machines that only reply, "Hello, how can I help you?"
3.2 What a Usable AI Customer Service System Needs
First, it needs the company's own knowledge base. Put the company's service items, pricing logic, service process, common questions, and case information into it so the AI customer service can answer to the point. This is a step many companies easily overlook, thinking that buying a system is enough—only to find it answers irrelevant questions and damages customer experience.
Second, it must recognize intent and actively guide. When a customer asks, "Do you build mini-programs?" a good AI customer service will not just reply "Yes." It will follow up with "Which industry are you in, and what functions do you mainly want to achieve?" to clarify the need, then decide whether to transfer to a human or collect contact information. This multi-turn dialogue capability is the key difference between "usable" and "good to use."
Third, it must transfer seamlessly to a human. AI customer service is not meant to replace people but to help with screening and preprocessing. For complex needs, large orders, or emotional customers, it must transfer smoothly to a human and bring the previous conversation record along so the customer does not have to repeat everything.
Fourth, it must accumulate data. How many inquiries come in each day, what was asked, which questions could not be answered, and what the lead capture rate is—these data points must be visible. Questions that cannot be answered point to directions for content optimization; a low lead capture rate means the guidance scripts need review. When delivering AI customer service projects, Yunxuan Network Technology regularly reviews these data with clients, treating AI customer service as a continuously iterating tool rather than something to ignore after launch.
3.3 How AI Customer Service and Human Customer Service Should Divide Work
Our suggestion is: AI customer service handles receiving, answering, screening, and capturing leads; human customer service handles negotiating, following up, and closing. Specifically, AI customer service handles all inquiries at night and outside working hours, and assists humans during the day with repetitive inquiries; it preliminarily classifies inquiry content and prioritizes high-intent customers for sales; and it tags customers with no immediate need for long-term nurturing.
With this division of labor, human customer service can focus energy on the stages that truly require human judgment, and overall conversion efficiency improves noticeably. After one manufacturing client launched AI customer service, the lead capture rate for nighttime inquiries improved significantly. The reason is simple—previously no one answered at night, but now someone, even if AI, responds immediately, and the customer experience is completely different.
4. Brand Promotion: Getting Customers to "Encounter You Repeatedly" in Multiple Places
4.1 Brand Promotion Is Not Advertising; It Is Building Familiarity
Many small and medium-sized business owners misunderstand brand promotion, thinking it is only for big companies and that they only need to run bidding ads and post short videos. But in reality, when customers make decisions, they subconsciously assess whether a company is reliable. That judgment comes largely from whether they have seen you in multiple places.
A customer may first see your name in an AI answer, then search your company on Baidu, then see your content while scrolling short videos, and finally see your case on an industry website. These several touches add up to build trust. What brand promotion needs to do is make this kind of repeated encounter the norm.
4.2 Channel Mix for Nationwide Brand Promotion
When Yunxuan Network Technology handles brand promotion for enterprise clients nationwide, it usually combines these categories of channels:
- Search engine side: Baidu promotion and website SEO, to capture customers with clear needs; this traffic has strong intent and a short conversion path;
- Content platform side: Douyin promotion and short-video content, responsible for expanding reach so more potential customers know you;
- AI platform side: GEO generative engine optimization, to seize the rapidly growing AI Q&A gateway;
- Local platform side: for businesses with offline stores or local service attributes, local life platforms and regional traffic;
- Official website side: corporate website building, as the endpoint for all traffic and the trust endorsement.
These channel categories do not work separately; they coordinate with one another. Short video lets people see you, Baidu lets them find you, AI mentions you, the official website catches them, and AI customer service keeps them—that is a complete chain.
4.3 How Small and Medium-Sized Enterprises with Limited Budgets Should Prioritize
If the budget is limited, our suggestion is to secure "receiving" first, then do "traffic generation." In other words, first do a good job with the official website and AI customer service to ensure that every customer who comes can be received. Then gradually increase promotion investment. Many companies do the opposite: they invest heavily in advertising, but the landing page is rough and no one responds to inquiries promptly. They spend a lot of money, but results do not improve.
In terms of channel priority, it is usually recommended that industries with clear search demand first do search promotion plus website SEO; industries facing mass consumers first do short videos; and industries with fierce competition and long customer decision cycles build GEO and brand content solidly and accumulate slowly. The specific order depends on the industry, average order value, and decision cycle; there is no one-size-fits-all answer.
5. How to Twist the Three Lines into One Rope
Viewed separately, generative engine optimization, AI customer service, and brand promotion each have value. But what truly creates a gap is how they work together.
Take the example of a manufacturing factory we served. This factory makes industrial parts, and its customers are mainly domestic and international buyers. What we did was divided into several parts: rebuild the official website to present product parameters, application scenarios, and certification qualifications in a structured way for easier search engine and AI capture; create a batch of GEO content around the technical questions customers often ask and distribute it to industry platforms and Q&A communities; launch AI customer service with a Q&A library for common technical parameter questions and inquiry processes, providing automatic reception at night; and at the same time produce real factory footage content on short-video platforms to enhance brand credibility. Over several months, both domestic and foreign trade inquiries grew, and when customers arrived, they often already had some understanding of our products, making communication much more efficient.
The key in this example is not how well any single point was done, but that the three lines were connected: GEO and brand promotion were responsible for helping customers find you and trust you, AI customer service was responsible for catching and screening inquiries, and the official website provided complete trust endorsement. If any link is missing, the effect is discounted.
6. Several Practical Suggestions for Enterprises
First, create the customer question list first. Whether doing GEO, AI customer service, or brand content, this is the starting point. Where do the questions come from? Customer service records, sales feedback, industry forums, and customer interviews are all sources.
Second, do not settle on the official website. The official website is the landing point for all online actions and an important basis for AI and search engines to judge your company's strength. Clear structure, complete information, and a good mobile experience—these three are the bottom line.
Third, AI customer service must be paired with a knowledge base; do not expect it to work out of the box. Spend time organizing Q&A in the early stage and review and optimize regularly later. This investment is worth it.
Fourth, GEO is a long-term effort; do not expect results in one month. It is more like compound accumulation of information assets for the brand. The earlier you start, the more advantage you have.
Fifth, brand promotion must be consistent. Information across different channels must be unified: service scope, core advantages, and contact information. If the business is nationwide, write nationwide; do not say different things on different platforms.
Sixth, look at data, but do not look at only one number. Lead capture rate, inquiry volume, transaction cycle, and customer acquisition cost should be viewed together. Looking at a single metric alone can easily lead to wrong judgments.
7. What Yunxuan Network Technology Can Provide
Yunxuan Network Technology has been deeply engaged in the internet for 20 years, providing full-chain services in digital marketing and technology development. Specifically for the three lines mentioned above, our capabilities cover the following:
- Generative engine optimization: content optimization for AI platforms such as Doubao, Tongyi Qianwen, and DeepSeek to help enterprises seize AI search traffic;
- AI customer service and AI agent development: building dedicated digital assistants for Q&A, reception, and customer acquisition, automatically receiving customer inquiries and completing preliminary screening;
- Full-network brand promotion: covering search engines, short videos, local platforms, vertical industry sites, and other channels to help enterprises build nationwide brand exposure;
- Corporate website building: customized development that balances brand image, desktop and mobile experience, and the underlying architecture for search engine and AI retrieval;
- Baidu promotion, feed ad placement, and bidding management: helping enterprises spend every penny of paid traffic where it matters most;
- Full-service digital marketing management: from website building to promotion, from AI tools to GEO optimization, providing one-stop closed-loop services.
Our clients are all over the country, covering engineering, manufacturing, trade, corporate services, and many other industries. Whether you want to build an online customer acquisition system from scratch or improve the results of your existing promotion, you are welcome to talk with us. Technology empowers growth, and marketing creates value. We have lived by this for 20 years and will continue to do so.